<図書>
Statistical language learning
| 責任表示 | Eugene Charniak |
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| データ種別 | 図書 |
| 出版情報 | Cambridge, Mass. : MIT Press , c1993 |
| 本文言語 | 英語 |
| 大きさ | xx, 170 p. ; 24 cm |
| 概要 | Eugene Charniak breaks new ground in artificial intelligence research by presenting statistical language processing from an artificial intelligence point of view in a text for researchers and scientis...s with a traditional computer science background. New, exacting empirical methods are needed to break the deadlock in such areas of artificial intelligence as robotics, knowledge representation, machine learning, machine translation, and natural language processing (NLP). It is time, Charniak observes, to switch paradigms. This text introduces statistical language processing techniques -- word tagging, parsing with probabilistic context free grammars, grammar induction, syntactic disambiguation, semantic word classes, word-sense disambiguation -- along with the underlying mathematics and chapter exercises. Charniak points out that as a method of attacking NLP problems, the statistical approach has several advantages. It is grounded in real text and therefore promises to produce usable results, and it offers an obvious way to approach learning: "one simply gathers statistics." Language, Speech, and Communication 続きを見る |
所蔵情報
| 状態 | 巻次 | 所蔵場所 | 請求記号 | 刷年 | 文庫名称 | 資料番号 | コメント | 予約・取寄 | 複写申込 | 自動書庫 |
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中央図 1C_14‐18 [文/言語] | 言語/105/19 | 1993 |
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068052194024430 |
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○高研 シス情(伊都) | 801/C 34/1 | 1993 |
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068582195001347 |
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書誌詳細
| 一般注記 | Includes bibliographical references (p. [163]-164) and index |
|---|---|
| 著者標目 | *Charniak, Eugene |
| 件 名 | LCSH:Computational linguistics LCSH:Linguistics -- Statistical methods 全ての件名で検索 LCSH:Mathematical linguistics LCSH:Artificial intelligence |
| 分 類 | LCC:P98.5.S83 DC20:410/.285 |
| 書誌ID | 1000067317 |
| ISBN | 0262032163 |
| NCID | BA21782235 |
| 巻冊次 | ISBN:0262032163 |
| 登録日 | 2009.09.10 |
| 更新日 | 2009.09.10 |
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